avialex OP t1_irnnm6a wrote on October 9, 2022 at 5:21 PM

Reply to comment by pmirallesr in [D] Quantum ML promises massive capabilities, while also demanding enormous training compute. Will it ever be feasible to train fully quantum models? by avialex

They certainly are looking, but at the same time gradient calculation is fundamental to how quantum neural networks are implemented right now, and QNN's are a relatively active area of study. I don't think we can dismiss the work in the field as it stands, because it's all built on the foundation of gradient descent. Afaik no one has yet found a better way to train a QNN, even on quantum data. I could be wrong.

pmirallesr t1_irnqpq4 wrote on October 9, 2022 at 5:40 PM

That's fair. I liked Maria Schuld's research on QML.

https://arxiv.org/abs/2101.11020